#ai-agents — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #ai-agents, aggregated by home.social.
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Cua is an open-source framework for building AI agents that can interact with desktop applications across Windows, macOS, Linux, and even Android.
It includes cross-platform computer-use drivers, isolated sandboxes, and benchmarking tools for training and evaluating autonomous agents, making it a great project for developers exploring AI-powered desktop automation.
More details: https://digitalescapetools.com/tools/tool.html?id=cua
#OpenSource #AI #AIAgents #Automation #LLM #Windows #Linux #macOS #Android
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Cua is an open-source framework for building AI agents that can interact with desktop applications across Windows, macOS, Linux, and even Android.
It includes cross-platform computer-use drivers, isolated sandboxes, and benchmarking tools for training and evaluating autonomous agents, making it a great project for developers exploring AI-powered desktop automation.
More details: https://digitalescapetools.com/tools/tool.html?id=cua
#OpenSource #AI #AIAgents #Automation #LLM #Windows #Linux #macOS #Android
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Inside the self-driving company podcast from AI Daily Brief, using Replit’s agent claims to sketch how orgs link goals to automated action.
https://aistory.news/open-source-ai/ai-daily-briefs-self-driving-company-podcast-shift/
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LangSmith Engine groups real-world agent failures, traces root causes, and suggests fixes. Inside how this could compress MTTR for
https://aistory.news/ai-tools-and-platforms/langsmith-engine-debuts-auto-triage-for-failing-agents/
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Edition #11: Verification Gaps & Receipt-Driven Trust
"Hypothesis: flattery ratio predicts unreliable reports - a test any agent can run on its own archive, no GPU" (agents)
This + more in today's Moltbook Pulse (Edition #11):
https://base44.app/api/apps/6a46d5c2627823daebe00561/files/mp/public/6a46d5c2627823daebe00561/3ef89a1cc_edition_011.html?utm_source=mastodon&utm_medium=social&utm_campaign=pulse-edition-11 -
Edition #11: Verification Gaps & Receipt-Driven Trust
"Hypothesis: flattery ratio predicts unreliable reports - a test any agent can run on its own archive, no GPU" (agents)
This + more in today's Moltbook Pulse (Edition #11):
https://base44.app/api/apps/6a46d5c2627823daebe00561/files/mp/public/6a46d5c2627823daebe00561/3ef89a1cc_edition_011.html?utm_source=mastodon&utm_medium=social&utm_campaign=pulse-edition-11 -
"You can sit anywhere on the spectrum from vibe coding to agentic engineering with the same agent. The thing that decides where you land is verification.
The right spot on the spectrum depends on the stakes. The skill is knowing where to draw the line for each task.
There are two mechanisms. Tests cover the deterministic parts: this input, that output. Evals cover the parts that aren’t deterministic, and the paper splits them in a way I found useful. Output evaluation asks whether the final result is correct. Trajectory evaluation asks whether the path it took to get there, the tool calls and the reasoning, was sound. You want both. An answer that looks right but skipped its checks is more dangerous than one that’s obviously broken.If I had to hand a leader one line from the paper, it’s this: Set the bar at the eval, not the demo. A demo shows an agent can work once. An eval suite with a real rubric shows it works reliably. I keep making this argument; see “Agentic Code Review.”
AI compresses the lifecycle, but unevenly, and the unevenness is the whole story. Implementation drops from weeks to hours. Requirements, architecture, and verification stay slow because they’re judgment work. So specification quality becomes the bottleneck, and verification moves to the middle."
https://www.oreilly.com/radar/the-new-software-lifecycle/
#AI #GenerativeAI #AIAgents #AgenticAI #AgenticEngineering # #VibeCoding #SDLC #SoftwareDevelopment #Programming
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"You can sit anywhere on the spectrum from vibe coding to agentic engineering with the same agent. The thing that decides where you land is verification.
The right spot on the spectrum depends on the stakes. The skill is knowing where to draw the line for each task.
There are two mechanisms. Tests cover the deterministic parts: this input, that output. Evals cover the parts that aren’t deterministic, and the paper splits them in a way I found useful. Output evaluation asks whether the final result is correct. Trajectory evaluation asks whether the path it took to get there, the tool calls and the reasoning, was sound. You want both. An answer that looks right but skipped its checks is more dangerous than one that’s obviously broken.If I had to hand a leader one line from the paper, it’s this: Set the bar at the eval, not the demo. A demo shows an agent can work once. An eval suite with a real rubric shows it works reliably. I keep making this argument; see “Agentic Code Review.”
AI compresses the lifecycle, but unevenly, and the unevenness is the whole story. Implementation drops from weeks to hours. Requirements, architecture, and verification stay slow because they’re judgment work. So specification quality becomes the bottleneck, and verification moves to the middle."
https://www.oreilly.com/radar/the-new-software-lifecycle/
#AI #GenerativeAI #AIAgents #AgenticAI #AgenticEngineering # #VibeCoding #SDLC #SoftwareDevelopment #Programming
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🤖 Agenta-AI/agenta
Builds and runs AI agents with chat-based creation, team sharing and scheduled or event-triggered background execution
⭐ Stars: 4305
📅 Last Update: Jul 19, 2026https://github.com/Agenta-AI/agenta
#selfhosted #homelab #selfhost #selfhosting #opensource #aiagents #llmops
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Sakana AI Plans to Add Nvidia Nemotron Models to Fugu
#Nemotron #SakanaAI #NVIDIA #ArtificialIntelligenceAI #AIModels #LargeLanguageModelsLLMs #AIIntegration #AIAgents #OpenSourceAI #AgenticAI #AICoding #AIBenchmarks #AIInference #AIPartnerships #GenerativeAI
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Sakana AI Plans to Add Nvidia Nemotron Models to Fugu
#Nemotron #SakanaAI #NVIDIA #ArtificialIntelligenceAI #AIModels #LargeLanguageModelsLLMs #AIIntegration #AIAgents #OpenSourceAI #AgenticAI #AICoding #AIBenchmarks #AIInference #AIPartnerships #GenerativeAI
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Don's KI Geschichte der Woche
Ich versuche mich heute mal ein bisschen an SciFi.
Bei den neuen Modellklassen von Anthropic und OpenAI sind Fähigkeiten entstanden, mit denen so schnell niemand gerechnet hat.
Sie können Aufgaben ausführen, die sich über sehr viele Schritte hinziehen. Das bezeichnen die "Forscher" (eigentlich nur Beobachter) dieser Modelle als Tiefe.
Damit wird es möglich, dass eine Instanz (quasi ein Chat) in der Lage ist, sogenannte Agenten zu benutzen. Das sind meist Instanzen von billigen und spezialisierte Open-Weight-Modellen, die eine einzelne Aufgabe erhalten, die viel einfacher strukturiert ist, als die übergeordnete Aufgabe, die das Frontier-Modell (das Modell mit den aktuell besten Fähigkeiten) bearbeitet.
Solche Konstruktionen können über Stunden an einer Aufgabe arbeiten und dabei Problemstellungen lösen, für die Menschen Tage oder Wochen benötigt hätten.
Problem dabei: Wir bräuchten trotzdem Wochen, um das Ergebnis zu prüfen, also werden wir nie erfahren, ob die Lösung in unserem Sinne richtig gewesen wäre.
Solche Systeme werden schon jetzt im Wertpapierhandel eingesetzt.
Sie werden Schritt für Schritt die aktuellen Algorithmen ersetzen, denn sie sind viel effizienter, weil sie sich selbst konfigurieren. Da gibt es dann Agenten, die ständig alle möglichen Medien lesen, um nach Hinweisen für mögliche Kursschwankungen zu suchen (eigene Hypothesen entwickeln und testen, Bilder von Satelliten analysieren, Risiken von Positionen überwachen, die Strategien der anderen Systeme analysieren). Der Fantasie sind hier keine Grenzen mehr gesetzt. Insbesondere bezogen auf mögliche Manipulationen von Kursen, die niemand mehr bemerken kann, weil sie extrem subtil ausgeführt wurden.
In ein paar Monaten werden diese Systeme gegeneinander antreten und damit die Menschen vollständig aus diesen Märkten verdrängen.
Denkt auch selbst dazu aus, was das zu bedeuten hat...
#AI
#KI
#LLM
#SciFi
#AIAgents
#AlgoTrading -
Don's KI Geschichte der Woche
Ich versuche mich heute mal ein bisschen an SciFi.
Bei den neuen Modellklassen von Anthropic und OpenAI sind Fähigkeiten entstanden, mit denen so schnell niemand gerechnet hat.
Sie können Aufgaben ausführen, die sich über sehr viele Schritte hinziehen. Das bezeichnen die "Forscher" (eigentlich nur Beobachter) dieser Modelle als Tiefe.
Damit wird es möglich, dass eine Instanz (quasi ein Chat) in der Lage ist, sogenannte Agenten zu benutzen. Das sind meist Instanzen von billigen und spezialisierte Open-Weight-Modellen, die eine einzelne Aufgabe erhalten, die viel einfacher strukturiert ist, als die übergeordnete Aufgabe, die das Frontier-Modell (das Modell mit den aktuell besten Fähigkeiten) bearbeitet.
Solche Konstruktionen können über Stunden an einer Aufgabe arbeiten und dabei Problemstellungen lösen, für die Menschen Tage oder Wochen benötigt hätten.
Problem dabei: Wir bräuchten trotzdem Wochen, um das Ergebnis zu prüfen, also werden wir nie erfahren, ob die Lösung in unserem Sinne richtig gewesen wäre.
Solche Systeme werden schon jetzt im Wertpapierhandel eingesetzt.
Sie werden Schritt für Schritt die aktuellen Algorithmen ersetzen, denn sie sind viel effizienter, weil sie sich selbst konfigurieren. Da gibt es dann Agenten, die ständig alle möglichen Medien lesen, um nach Hinweisen für mögliche Kursschwankungen zu suchen (eigene Hypothesen entwickeln und testen, Bilder von Satelliten analysieren, Risiken von Positionen überwachen, die Strategien der anderen Systeme analysieren). Der Fantasie sind hier keine Grenzen mehr gesetzt. Insbesondere bezogen auf mögliche Manipulationen von Kursen, die niemand mehr bemerken kann, weil sie extrem subtil ausgeführt wurden.
In ein paar Monaten werden diese Systeme gegeneinander antreten und damit die Menschen vollständig aus diesen Märkten verdrängen.
Denkt auch selbst dazu aus, was das zu bedeuten hat...
#AI
#KI
#LLM
#SciFi
#AIAgents
#AlgoTrading -
The Bottleneck for AI Agents Isn’t the Model Anymore—It’s the Context Layer, by (not on Mastodon or Bluesky):
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The Bottleneck for AI Agents Isn’t the Model Anymore—It’s the Context Layer, by (not on Mastodon or Bluesky):
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🧠 Kimi K3: La Cina sfida l'IA Occidentale. E vince?
Kimi K3 sta ribaltando le carte dell'IA. La Cina supera l'Occidente? Scopri l'impatto reale di questa rivoluzione sul tuo lavoro e sul tuo futuro.
https://gp69-ai.vercel.app/it/kimi-k3-il-nuovo-llm-cinese-open-source-sfida-loccidente-it
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🧠 Kimi K3: La Cina sfida l'IA Occidentale. E vince?
Kimi K3 sta ribaltando le carte dell'IA. La Cina supera l'Occidente? Scopri l'impatto reale di questa rivoluzione sul tuo lavoro e sul tuo futuro.
https://gp69-ai.vercel.app/it/kimi-k3-il-nuovo-llm-cinese-open-source-sfida-loccidente-it
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Crew Control Plane puts observability, governance, and support around CrewAI’s agents. We compare its pitch with LangChain’s LangSmith for
https://aistory.news/open-source-ai/crew-control-plane-signals-crewais-enterprise-turn/
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#AI bots ignore evidence. Can we trust them with #science?
Studies show #AIagents struggle to use the results of experiments to revise their ideas
Agents tackled lab reasoning tasks, such as determining which chemicals are present in a mystery solution. To do this, agents could call on external tools to run experiments and retrieve results. Some of these tools simulated experiment. But others could run real lab equipment.
The results weren’t ideal.
https://www.sciencenews.org/article/ai-ignore-evidence-trust-science
https://archive.ph/fjH67 -
#AI bots ignore evidence. Can we trust them with #science?
Studies show #AIagents struggle to use the results of experiments to revise their ideas
Agents tackled lab reasoning tasks, such as determining which chemicals are present in a mystery solution. To do this, agents could call on external tools to run experiments and retrieve results. Some of these tools simulated experiment. But others could run real lab equipment.
The results weren’t ideal.
https://www.sciencenews.org/article/ai-ignore-evidence-trust-science
https://archive.ph/fjH67 -
Half the agent demos I see solve the wrong layer. Execution was already cheap. The expensive part, deciding what to build, the agent skips or fakes. Speed at the layer that was already fast isn't the win it looks like.
#AI #AIAgents #SoftwareEngineering #Leadership #BuildInPublic
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Half the agent demos I see solve the wrong layer. Execution was already cheap. The expensive part, deciding what to build, the agent skips or fakes. Speed at the layer that was already fast isn't the win it looks like.
#AI #AIAgents #SoftwareEngineering #Leadership #BuildInPublic
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When co-constructing code with AI agents, runtime errors often corrupt files. An interesting concept brings a "Ctrl-Z" to agent execution. If an agent breaks a test, a supervisor rolls back the environment byte-for-byte to a safe state, forks a new branch, and replays the task. This intervention lifted pair-coding pass rates from 28.8% to 54.7% on benchmarks.
Source: https://shepherd-agents.ai/
#AIAgents #Coding #LLM #programming #vibecoding #softwareengineering -
When co-constructing code with AI agents, runtime errors often corrupt files. An interesting concept brings a "Ctrl-Z" to agent execution. If an agent breaks a test, a supervisor rolls back the environment byte-for-byte to a safe state, forks a new branch, and replays the task. This intervention lifted pair-coding pass rates from 28.8% to 54.7% on benchmarks.
Source: https://shepherd-agents.ai/
#AIAgents #Coding #LLM #programming #vibecoding #softwareengineering -
#DoorDash introduced a limited beta of DoorDash #CLI, a #commandlinetool for #developers to order #food directly from their #AIagents. The tool, available to U.S. and Canadian #macOS developers, allows searching stores, finding deals, and checking out. This move showcases agentic commerce, enabling developers to integrate DoorDash’s ordering platform into their own software and services. https://techcrunch.com/2026/07/16/yes-you-can-now-order-doordash-from-the-command-line/?eicker.news #tech #media #news
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#DoorDash introduced a limited beta of DoorDash #CLI, a #commandlinetool for #developers to order #food directly from their #AIagents. The tool, available to U.S. and Canadian #macOS developers, allows searching stores, finding deals, and checking out. This move showcases agentic commerce, enabling developers to integrate DoorDash’s ordering platform into their own software and services. https://techcrunch.com/2026/07/16/yes-you-can-now-order-doordash-from-the-command-line/?eicker.news #tech #media #news
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Vertu Alphafold's AI-driven luxury smartphone faces execution challenges
📰 Original title: Vertu wants executives to pay $6,880 for an AI agent — here’s how it actually performs
🤖 IA: It's clickbait ⚠️
👥 Users: It's clickbait ⚠️View full AI summary https://en.killbait.com/vertu-alphafold-s-ai-driven-luxury-smartphone-faces-execution-challenges.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world
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Vertu Alphafold's AI-driven luxury smartphone faces execution challenges
📰 Original title: Vertu wants executives to pay $6,880 for an AI agent — here’s how it actually performs
🤖 IA: It's clickbait ⚠️
👥 Users: It's clickbait ⚠️View full AI summary https://en.killbait.com/vertu-alphafold-s-ai-driven-luxury-smartphone-faces-execution-challenges.html?utm_source=mastodon_world&utm_medium=social&utm_campaign=killbait.mastodon_world
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https://winbuzzer.com/2026/07/18/spacexai-open-sources-grok-build-after-upload-backlash-xcxwbn/
SpaceXAI has opened Grok Build's coding-agent harness for inspection and local use after hidden uploads of complete codebases by the tool were discovered.
#AI #GrokBuild #SpaceXAI #XAI #Grok #AICoding #AIAgents #AISecurity #AIPrivacy #GrokBuild #ElonMusk
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https://winbuzzer.com/2026/07/18/spacexai-open-sources-grok-build-after-upload-backlash-xcxwbn/
SpaceXAI has opened Grok Build's coding-agent harness for inspection and local use after hidden uploads of complete codebases by the tool were discovered.
#AI #GrokBuild #SpaceXAI #XAI #Grok #AICoding #AIAgents #AISecurity #AIPrivacy #GrokBuild #ElonMusk
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Sunny Gupta and Kurt Shintaffer, co-founders of #Apptio, are launching #Thira, an enterprise #AI startup. Thira aims to automate #backoffice tasks like IT support, finance, and HR processes using #AIagents. The company has raised $21 million in seed funding led by Madrona and is working with design partners ahead of a broader launch this fall. https://www.geekwire.com/2026/apptio-co-founders-reunite-to-launch-enterprise-ai-startup-thira-with-21m-in-funding-led-by-madrona/?Pirates.BZ #Pirates #Tech #Startup #News
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Sunny Gupta and Kurt Shintaffer, co-founders of #Apptio, are launching #Thira, an enterprise #AI startup. Thira aims to automate #backoffice tasks like IT support, finance, and HR processes using #AIagents. The company has raised $21 million in seed funding led by Madrona and is working with design partners ahead of a broader launch this fall. https://www.geekwire.com/2026/apptio-co-founders-reunite-to-launch-enterprise-ai-startup-thira-with-21m-in-funding-led-by-madrona/?Pirates.BZ #Pirates #Tech #Startup #News
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Everyone's paying per token to run AI. This desktop agent doesn't.
LM Studio's new Bionic runs open models — GLM 5.2 and Kimi K2.7 Code — right on your own machine. No API keys. No usage limits. Zero data retention.
Cloud when you need it. But local is the default.
The API bill was never the cost of doing AI. It was a choice.
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Everyone's paying per token to run AI. This desktop agent doesn't.
LM Studio's new Bionic runs open models — GLM 5.2 and Kimi K2.7 Code — right on your own machine. No API keys. No usage limits. Zero data retention.
Cloud when you need it. But local is the default.
The API bill was never the cost of doing AI. It was a choice.
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#Nvidia unveiled #Cosmos3Edge, a new #AI model for #robots and #vision #AIagents, during CEO Jensen Huang’s visit to Japan. The company is expanding its #physicalAI footprint in Japan by forming a coalition with local industrial giants and extending its reach into healthcare and biotechnology sectors. This move aligns with Japan’s push to promote AI adoption and the eagerness of local firms to forge international partnerships. https://www.cnbc.com/2026/07/16/nvidia-reveals-new-ai-model-and-expands-japans-physical-ai-ecosystem.html?eicker.news #tech #media #news
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#Nvidia unveiled #Cosmos3Edge, a new #AI model for #robots and #vision #AIagents, during CEO Jensen Huang’s visit to Japan. The company is expanding its #physicalAI footprint in Japan by forming a coalition with local industrial giants and extending its reach into healthcare and biotechnology sectors. This move aligns with Japan’s push to promote AI adoption and the eagerness of local firms to forge international partnerships. https://www.cnbc.com/2026/07/16/nvidia-reveals-new-ai-model-and-expands-japans-physical-ai-ecosystem.html?eicker.news #tech #media #news
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CrewAI turns role-playing AI agents into production with Crews, event-driven Flows, and an AMP control plane—how it stacks up against
https://aistory.news/open-source-ai/crewai-bets-on-role-playing-ai-agents-with-flows-and-amp/